How to Use the Cin7 Core MCP in AutoGen
Enable multi-agent AutoGen conversations to debate and coordinate Cin7 Core inventory and sales operations.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Cin7 Core MCP to AutoGen
Create your Vinkius account to connect Cin7 Core to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Coordinate AutoGen Debates on Cin7 Core Stock
The `get_all_stock_availability` tool provides real-time stock counts across all your physical warehouses to your AutoGen group chat. In an AutoGen setup, a sales agent can check this tool while a purchasing agent debates whether to trigger a Cin7 Core restock. This multi-agent conversation ensures that you don't over-order on Cin7 Core. The AutoGen agents use the MCP Server to inspect current allocations, resolve conflicts, and reach a consensus on whether to draft a new purchase order.
Resolve Cin7 Core Order Conflicts via AutoGen
The `get_sale_order_details` tool exposes individual line items, shipping addresses, and fulfillment progress from Cin7 Core. When a Cin7 Core order is flagged with a shipping error, your AutoGen agents can dissect the issue together. A customer service AutoGen agent pulls the order details, while a logistics agent checks physical bin locations using `get_sku_stock_status`. They negotiate the best resolution path for that Cin7 Core transaction before presenting the finalized plan to you.
Audit Supplier Terms with Multi-Agent Workflows
The `list_crm_suppliers` tool extracts vendor profiles, default currencies, and payment terms directly into AutoGen. You can deploy one AutoGen agent to analyze vendor pricing and another to audit outstanding Cin7 Core purchase orders via `list_purchase_orders`. The two AutoGen agents compare terms, debate which supplier offers the best margins, and write a joint recommendation. Using this MCP toolset, your AutoGen agents handle complex Cin7 Core supply chain analysis through structured, multi-perspective debate.
Set up Cin7 Core MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Cin7 Core tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Cin7 Core_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Cin7 Core data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Cin7 Core_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Cin7 Core data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cin7 Core. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Cin7 Core MCP in AutoGen
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Cin7 Core MCP today
We host it, we monitor it, we maintain it. You just paste one token.